Essays on Multiple Regression

Research Paper

The research paper is designed to analyze the impact of Saudi 2030 initiatives and the current working capital practices on the financial performance of the companies in the retail sector of Saudi Arabia. Rather than relying on the secondary data, which was partially available only for multiples related to the working capital of the companies, we designed the entire research study using the cross-sectional layout. As part of this research method, a questionnaire, designed in consultation with the experts, was used. The questionnaire was categorized in two categories where responses related to qualitative aspects and quantitative aspects were recorded ...

Introduction

This term paper is completed to show the understanding of the statistics and to demonstrate the application of probability theory to a real world problem. The aim of this research project is to pick a data set that most closely ties my chosen field and perform statistical procedures such as descriptive statistics and statistical inference using the selected data. Since my field lies in the area of sales, real estate and business administration, I selected the Goodyear Arizona Real Estate Sales Data. The main research question I will investigate in this paper is: what are the factors that have ...

About the paper

The paper is commissioned to delineate the linear and log-linear multiple regression model where the dependent variable, earnings per hour, will be regressed against two independent variables, education and experience. As part of this analysis, we will cite multiple journal articles, books and other related sources to learn more about the regression analysis and how the statisticians perform the data analysis these days. Both the regression models, i.e. linear and log-linear multiple regression will be performed in excel and the output will be attached in the appendix section of the paper. In addition, we will also test the significance ...

2.7 Conceptual Framework Figure 1: Conceptual Framework (Source: Author) It is clearly evident from the above figure that a possible relationship exists between the confidence of decision makers and the consistency of their judgment. And Confidence and Consistency are both independently affecting Quality. 2.8 Research Hypothesis Based on the analysis of the literature that has been conducted above, there is a positive relationship between confidence and consistency. It seems like more confidence leads to more consistency. Therefore, the first hypothesis will be defined as followed.

However, relationship between confidence and consistency has implications for the quality of decision making. ...

Question 1

In hierarchical multiple regression, variables are added into the model in different blocks. In this case, the dependent variable is the memory function in elderly people. The research is aimed at finding the nature of the association between memory function and social contact. Two blocks will be used in this regression analysis. Social contact is the primary independent variable hence block 1 will include social contact and memory function among healthy elderly people. The two variables will be regressed to obtain a model. After regression, the R-Squared of the model is checked to determine the changes in Y (memory ...

1.0 Background Capital structure decisions are critical for the profitability and or growth objectives of for-profit organizations. Financial managers are given the liberty of choosing the components of their capital structure as long their maximize the value of the stock and at the same time achieve some of the core objectives of firms. Some of these include maximization of the company’s value. Managers all over the world strive to find a combination of investment with the best gearing ratio. According to Huber (2011) excessive use of debt financing could lead to too much of the firm's profits being ...

Management

It is important to know the internal rate of return because the percentage figure gives the speed of reinvestment that adds up to the break even value. Additionally, the Hurdle Rate is vital since it displays the financially attractive level of the investment. Further, the difference between cash flow and profit is that the amount recorded is the immediate cash in the firm’s account while the profit includes the amounts that will be paid in future. It is, however, important to get the NPV for any decision which flows into multi-periods because investment takes place over time and ...

Abstract

Shopping is one of the most important parts in our daily life. We, as consumers, shop almost every day, whether it is a quick stop to the seven-eleven down the corner, or a family shopping in a large store like Wal-Mart at the weekend. From our perspective, when we plan to shop, all we want to consider is what we are getting and how much those items cost. On the other hand, as the suppliers in the shopping chain, the owners or investors of the stores have much more to consider when, where or even which kind of store ...

Abstract

Regression analysis is the statistical technique commonly used in econometric modeling and carrying out economic forecasts. This study sought to assess the precision multiple linear regression in evaluating the evolution in real GDP per capita in the USA between 1998 and 2011 using expenditure approach. Three macroeconomic variables were used; Gross domestic product, net investment and final consumption. Net investment and final consumption are model regressors predicting GDP. The researcher used MS Excel to carry out all the statistical analysis on the data. The analysis result shows weak linear development GDP increment. Small fluctuations were observed around the fitted ...

Abstract

In this case, we illustrate the application of multiple regression in economics. We gather data on the unemployment rate (dependent variable) and three independent variables; GDP per capita, maximum weekly unemployment benefit and population estimate for 2015. The data is collected from 39 different states. Regression analysis results show that there is a positive association between the unemployment rate and GDP per capita and population estimate. The relationship between unemployment rate and maximum weekly benefits is inverse. The evaluation of the reliability of the first-order model shows that it has a small coefficient of determination. The first-order model is ...

Produce the Pearson correlation matrix for all variables except the name of the printer. What are the two strongest relationships shown in the Pearson correlation matrix?

The correlation matrix is given in a table below ("Annotated SPSS Output: Correlation", 2016):

The strongest correlation coefficient is between Text Cost and Color Photo Cost (r=0.606, p=0.017). The next strongest correlation is between Price and Color Photo Time (r=-0.518, p=0.048). There is a strong positive linear relationship between Text Cost and Color Photo Cost. There is a strong negative relation between Price and Color Photo Time. These relationships are one we would expect, because lesser time spent on producing color photo usually costs higher. (b) If ...

As cited by Dimovski and Brooks, underpricing refers to transfer of wealth from the issuing firm to the investors in the IPO. (Brooks, 2010) The issue of IPO being launched at a price substantially less than their market value on the first day of listing, is a global phenomenon now. The issue is now widely documented as academic researchers are performing a plethora of research work to evaluate the IPO underpricing. Even though the issue of IPO under pricing is internationally pervasive, however, in the recent years, researchers are getting more inclined in evaluating the IPO pricing in emerging ...

Discussion of the Results got from the Analysis

Discussion of the Results got from the Analysis

Calculation of percentage changes that have a likelihood of occurring in the stock is important. The percentage changes are influenced by some factors that exist in the stock market such as changes in the annual gross domestic product of countries, housing price index, and annual average interest rates among others. After an analysis of the data collected from 1980 to 2011 on factors that are known to have an influence on the stock market percentage change the following multiple linear regression lines was arrived at: S&P500 (Percentage Change) = 1.229 + 0.008 * (Annual ...

Effect of Work Hours, Homework, and Brothers on High School GPA

Academic performance in high school is the ticket to enter the most prestigious universities. A grade point average (GPA) enables a student to get accepted in his or her chosen university and may also hinder such student to obtain a college degree and a decent occupation. It is important to bank on a good academic performance while still in high school since a student’s reputation may also depend on his or her scholastic achievements. For this particular study, there will be a determination of factors that may affect the academic performance of students and the people and environment ...

` The evolution of human beings is closely related to the evolution of the human brain. Brain capacity demonstrates how humans evolved from primitive to modern forms. By examining brain capacity across three different species of primates, namely Australopithecuas Africanus, Homo Habilis and Homo Erectus, it is possible to notice how brain capacity drastically increased, and with it, other modifications also took place, thus allowing modern humans (Homo Sapiens) to evolve into the present form. Based on primary research, this paper will examine brain capacity as a fundamental evolution characteristic, and will trace the transformations which took place from one ...

Introduction

In this paper, we will discuss and describe the application of statistics and probability theory to a real world problem. Our goal is to provide clear and meaningful statistical exploration of the National Football League data for the 2005 season. Starting from the primary issue of this case, we will provide descriptive statistics to explain the given data set. After this, the multiple linear regression will be developed to get the best prediction of the percentage of games won, based on the given variables (factors).

Data

We are given with the data set of 32 observations. Each observation reflects a ...

1. The results from the multiple regression shows that negative exposure has a great effect on the stress levels of individual without a military background. Years of service do not have an effect on the stress levels of both military and non-military officers. In other words, years of service is not statistically significant. Of the two main predictors in the model, negative exposure is the only one that is statistically significant with a beta level of 0.227. Of the two copying controls, constructive coping is negatively associated with stress in both military and nonmilitary members of the police force. ...

Regression Analysis and Time Series Modelling

Regression Analysis in Legal Scenario Multiple regression and time series analysis have played an important role in legal context also. For instance, in the famous supreme court case of McCleskey v/s Kemp, the appellant, who was sentenced to death, claimed that race of the criminal plays a very important role when the judge decides the punishment. Accordingly, David Baldus, a professor at the University of Iowa, ran regression on the number of death penalty cases, while keeping the race of the criminal, his past criminal record, method of killing and motive of killing as independent variables. Ironically, the outcome ...

Report on sales forecasts

Problem description The company experiences a problem of great variability in sales as well as promotion and advertising expenditures from quarter to quarter. This makes it difficult to determine a sales forecast and prepare a budget for promotion and advertising expenditures.

Developing a multiple regression model

A multiple regression model can be used to determine the sales forecast given the values of the independent variables. In this case, sales of meatloaf mix is the dependent variable while the independent variables are promotion expenditure, advertising spending and economic index.

Description of the data

The data used in developing the model are historical data on each of the variables. They ...